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Table 3 Deep neural network

From: Recognition of cooking activities through air quality sensor data for supporting food journaling

 Original predictionsAfter post-processing
TN296,219301,258
FP37,97832,939
TP12,05511,985
FN42694339
Accuracy (%)87.9589.36
Specificity (%)88.6490.14
Recall (%)73.8573.42
Precision (%)24.0926.68
\(F_1\) score (%)36.3339.14
  1. Results with minute by minute modality, online recognition
  2. Numbers in italic indicate the largest value obtained in the experiment for each considered metric